mingwpy.github.io

The Mingwpy project — mingwpy 0.1 documentation

Provide a free open source toolchain for building Python extensions for Windows, and make sure that those extensions are compatible with CPython compiled with native Visual Studio. Toolchain contains customized gcc, g and gfortran compilers of the GNU toolchain. Based on the Mingw-w64. BLAS / LAPACK on Windows. Funding request - MinGW-w64 static toolchain. Status update June ‘16. Https:/ groups.google.com/forum/#! Enter search terms or a module, class or function name. Alabaster 0.7.7.

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The Mingwpy project — mingwpy 0.1 documentation | mingwpy.github.io Reviews

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Provide a free open source toolchain for building Python extensions for Windows, and make sure that those extensions are compatible with CPython compiled with native Visual Studio. Toolchain contains customized gcc, g and gfortran compilers of the GNU toolchain. Based on the Mingw-w64. BLAS / LAPACK on Windows. Funding request - MinGW-w64 static toolchain. Status update June ‘16. Https:/ groups.google.com/forum/#! Enter search terms or a module, class or function name. Alabaster 0.7.7.

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The Mingwpy project — mingwpy 0.1 documentation | mingwpy.github.io Reviews

https://mingwpy.github.io

Provide a free open source toolchain for building Python extensions for Windows, and make sure that those extensions are compatible with CPython compiled with native Visual Studio. Toolchain contains customized gcc, g and gfortran compilers of the GNU toolchain. Based on the Mingw-w64. BLAS / LAPACK on Windows. Funding request - MinGW-w64 static toolchain. Status update June ‘16. Https:/ groups.google.com/forum/#! Enter search terms or a module, class or function name. Alabaster 0.7.7.

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mingwpy.github.io

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Background — mingwpy 0.1 documentation

http://mingwpy.github.io/background.html

Why choose mingw-w64 over mingw? A more complete software build system. Official mingw-w64 GCC toolchains. Other sources of precompiled mingw-w64 compiled libraries. Building a mingw-w64 based GCC toolchain on Windows. BLAS / LAPACK on Windows. Intel Math Kernel Library. AMD Core Math Library. BLAS-like instantiation software framework. Enter search terms or a module, class or function name. 2015-2016, Carl Kleffner and collaborators. Powered by Sphinx 1.2.3. Alabaster 0.7.7.

2

BLAS / LAPACK on Windows — mingwpy 0.1 documentation

http://mingwpy.github.io/blas_lapack.html

BLAS / LAPACK on Windows. Windows has no default BLAS. Library. By “default” we mean, installed with the operating system. Numpy needs a BLAS library that has CBLAS. Here is a list of the options that we know about. Libraries have been the default BLAS / LAPACK libraries for numpy binary installers on Windows to date (end of 2015). No runtime optimization for running CPU;. Has only one major developer (Clint Whaley);. Compilation is difficult, slow and error-prone on Windows;. We make three Windows.

3

MinGW-w64 — mingwpy 0.1 documentation

http://mingwpy.github.io/background-mingw.html

Why choose mingw-w64 over mingw? Is a fork of the. To date, numpy and scipy have used versions of the mingw compilers to create 32-bit binary distributions on Windows. mingw-w64 has some major advantages over mingw, including:. Support for compiling 64-bit extensions (as well as 32-bit);. Large file support;. Winpthread pthreads implementation, MIT licenced;. The mingw-w64 project releases the supporting files to allow the standard. Distribution to compile code that can:. A build of the GNU. Tools, conta...

4

Why mingwpy? — mingwpy 0.1 documentation

http://mingwpy.github.io/motivation.html

Python.org distributes binary installers for Python that are built with. It is possible to install a version of MSVS that will build Python extensions written in C. So why do we need mingwpy? MSVS can be painful to install and configure. There is a free and relatively small MSVS version 9.0 download for compiling Python 2.7 extensions at http:/ aka.ms/vcpython27. Quoting from https:/ mail.python.org/pipermail/distutils-sig/2014-September/024885.html. Scientific software often needs a Fortran compiler.

5

Mingwpy distribution — mingwpy 0.1 documentation

http://mingwpy.github.io/mingwpy.html

Mingwpy is a mingw-w64 gcc toolchain customized for building Python extensions. For the need of the various customizations. Latest versions should be at the mingwpy anaconda site. There are older versions at the mingwpy bitbucket repo. What’s in it? Mingwpy retired bitbucket site. For lists of files in the (older) distribution. Customizations over standard mingw-builds releases. Two dedicated GCC toolchains for both 32bit (POSIX threads, Dwarf exceptions) and 64 bit (POSIX threads, SEH exceptions);.

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Installation — pymunk 5.0.0 documentation

http://www.pymunk.org/en/latest/installation.html

Pymunk 5.0.0 documentation. You will find the latest released version at pypi: https:/ pypi.python.org/pypi/pymunk. Pymunk can be installed with pip install:. Another option is to use the standard setup.py way, in case you have downloaded the source distribution:. Python setup.py install. Note that this require a GCC compiler, which can be a bit tricky on Windows. If you are on Mac OS X or Linux you will probably need to run as a privileged user; for example using sudo:. Sudo python setup.py install.

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mingwpy.github.io

The Mingwpy project — mingwpy 0.1 documentation

Provide a free open source toolchain for building Python extensions for Windows, and make sure that those extensions are compatible with CPython compiled with native Visual Studio. Toolchain contains customized gcc, g and gfortran compilers of the GNU toolchain. Based on the Mingw-w64. BLAS / LAPACK on Windows. Funding request - MinGW-w64 static toolchain. Status update June ‘16. Https:/ groups.google.com/forum/#! Enter search terms or a module, class or function name. Alabaster 0.7.7.

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